Abstract
Probabilistic Risk Assessment (PRA) plays an important role in the nuclear reactor regulatory process, and the assessment of uncertainties associated with PRA results is widely recognized as an important part of the analysis process. However, uncertainty analysis and sensitivity analysis in the context of PRA are relatively immature fields. A review of available methods for uncertainty analysis and sensitivity analysis in the context of a PRA is presented. This review first treats methods for use with individual components of a PRA and then considers how these methods could be combined in the performance of a complete PRA. In the context of this paper, the goal of uncertainty analysis is to measure the imprecision in PRA outcomes of interest, and the goal of sensitivity analysis is to identify the major contributors to this imprecision.
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